Skip to main content

Test coverage Documentation Status zenodo

DHNx

This package provides an open toolbox for district heating and cooling network optimization and simulation models.

About

The aim of DHNx is to provide a toolbox for building models of district heating/cooling systems.

Quickstart

If you have a working Python3 environment, use pypi to install the latest DHNx version:

pip install dhnx

Install the developer version of DHNx by cloning DHNx to your computer and running

pip install -e <path to DHNx>

in your virtualenv.

Check out the examples to get started.

Documentation

The documentation (work in progress) can be found here https://dhnx.readthedocs.io/en/latest/. To build the docs locally using sphinx-build run the following in a terminal.

sphinx-build docs <build-dir>

Contributing

Everybody is welcome to contribute to the development of DHNx. The developer guidelines of oemof are in most parts equally applicable to DHNx.

Citing

We use the zenodo project to get a DOI for each version. Search zenodo for the right citation of your DHNx version.

If you want to refer specifically to the district heating network optimization part of DHNx, you can also cite https://doi.org/10.5278/ijsepm.6248.

License

MIT License

Copyright (c) 2020 oemof developing group

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Metadata

Release files for dhnx 0.0.4

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for dhnx 0.0.4
File Size Uploaded
dhnx-0.0.4.tar.gz 127.3 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for dhnx 0.0.4
File Interpreter ABI Platform
dhnx-0.0.4-py2.py3-none-any.whl Python 3, Python 2 none any Details

Total release size: 189.9 kB

Release files / dhnx-0.0.4.tar.gz

Download URL dhnx-0.0.4.tar.gz
Size 127.3 kB
Tags Source
SHA-256 checksum
How to use checksums
4f94b6b2349303aa6773d37a1c8cddb6cd280c9bdc19d14f79a3dad7d14a8aaf
BLAKE2b-256 checksum
How to use checksums
dc3b9c7e59d894d912eb066e5668243aa897109aae72492eb0f1f35d437df7d0
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.14.0

Release files / dhnx-0.0.4-py2.py3-none-any.whl

Download URL dhnx-0.0.4-py2.py3-none-any.whl
Size 62.6 kB
Tags Python 2 Python 3
SHA-256 checksum
How to use checksums
379216eb9a817aa90af26952b4a038968317002db6f352fc4552f690ac11b5cf
BLAKE2b-256 checksum
How to use checksums
946675ab38cdde8888e7b3fbda2abcb6451fcb5845ea7956f1445d60a06ffe0f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.14.0
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page